Leveraging Post-Click User Behaviors for Calibrated . . . In light of this, we propose a novel approach that leverages post-click user behaviors to calibrate conversion rate predictions Specifically, we treat user behaviors as predictable targets to improve accuracy and enhance timeliness
Conversion Optimizer Works by Predicting User Behavior Conversion optimizers leverage predictive algorithms to forecast user behavior in order to enhance conversion rates By analyzing data on past user actions and responses, these tools can anticipate future needs and preferences
Calibrating User Response Predictions in Online Advertising Predicting user response probability such as click-through rate (CTR) and conversion rate (CVR) accurately is essential to online advertising systems To obtain accurate probability, calibration is usually used to transform predicted probabilities to posterior probabilities
Attentive capsule network for click-through rate and . . . As a step forward to improve this goal, we propose a method named Attentive Capsule Network (ACN) It uses Transformers for feature interaction and leverages capsule networks to capture multiple interests from user behavior history
Click tracking: The ultimate guide to tracking website and . . . Learn how click tracking can help you unlock the power of user insights in this guide See how to track and analyze website clicks and app taps for enhanced user engagement and conversion optimization
Conversion tracking: Click Through Data: Analyzing Click . . . By meticulously analyzing click-through data, marketers can unlock the full potential of their advertising efforts, ensuring that every click contributes to the overarching goal of conversion 1 The Role of Click-Through Data: Click-through data serves as the initial indicator of campaign effectiveness